Paper Info
Title
Correlation between different DNA period-3 signals: An analytical study for exons prediction.
Abstract
The so-called DNA period-3 signals are significant indicators for exons locations in DNA sequences. However, the sole dependence on one period-3 signal to identify exons locations in a DNA sequence provides limited performance. It has been recently shown that exons prediction performance can be improved by employing multiple different period-3 signals. In this paper, we aim to justify the reason of this improvement by investigating the correlation between different DNA period-3 signals. For this purpose, we utilize Pearson's correlation coefficient. Moreover, we examine another configuration of employing multiple period-3 signals for exons prediction that is not handled in previous work. MATLAB simulation is conducted on the HMR195 genomic dataset utilizing the ROC curve as a performance evaluation tool. The results reveal an average weak correlation of 12% between period-3 signals obtained by using different numeric mapping schemes. Consequently, employing those period-3 signals simultaneously provides better exons prediction performance as compared to employing either of them solely. On the other hand, the results show an average strong correlation of 80% between period-3 signals obtained by using different period-3 detection methods. Thus, the participation of those period-3 signals simultaneously does not provide a significant improvement in exons prediction performance as they carry similar information.
Year
Venue
Keywords
2017
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
DNA,exons prediction,protein-coding regions,Pearson's correlation,period-3 signals
Field
DocType
ISSN
Correlation coefficient,Pattern recognition,Computer science,Exon,DNA,Genomics,Correlation,Artificial intelligence,DNA sequencing,A-DNA,Matlab simulation
Conference
2309-9402
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Ismail M. El-Badawy151.32
Ashraf M. Aziz2988.72
Zaid Omar3193.28
M. B. Malarvili4212.69